code: def pandas_kendall_compute(
      config: Settings, df: pd.DataFrame, summary: dict
  ) -> Optional[pd.DataFrame]:
      return df.corr(method="kendall")
  
file_path: ydata-profiling/src/ydata_profiling/model/pandas/correlations_pandas.py
imports: import itertools
  import warnings
  from typing import Callable, Optional
  import numpy
  import pandas
  from scipy import stats
  from ydata_profiling.config import Settings
  from ydata_profiling.model.correlations import Auto, Cramers, Kendall, Pearson, PhiK, Spearman
  from ydata_profiling.model.pandas.discretize_pandas import DiscretizationType, Discretizer
label_desc: Use image node_id 3 for calling a global function with example usage: pandas_kendall_compute(config, df, summary) and returns: df